Browse The Skill Store

Builds the organizational memory schema your AI agent needs to answer why — capturing decision provenance, causal chains, and event context that embedding-based retrieval permanently discards.

Architects the right retrieval strategy for every query — teaching your agent when to use RAG, a knowledge graph, or a temporal index instead of defaulting to vector search for everything.

RAG fails quietly. It retrieves documents, returns confident-looking answers, and misses the question entirely — because the question required connecting facts across documents, reasoning about sequence, or tracing causation. This skill gives you a five-question diagnostic checklist that classifies any failing query as either RAG-safe or structurally RAG-incompatible, then maps it to the specific failure pattern and the architectural fix that resolves it.

Professional Chinese judicial case search and rule induction powered by the Deli Legal API.

Multi-source dispatcher for aggregating technical research and community sentiment across HN, Reddit, and GitHub.

Connect your agent to the Steam Web API to fetch player data, game libraries, and achievement statistics.

make api shell connection workflow

by LocoLoboZ

$12

Standardize and validate Make API shell scenarios and connection workflows for reusable SaaS integrations.

🧠 AI Memory Optimizer

by Martin Gunderman

$7

Drastically reduce RAG costs and latency while improving retrieval accuracy through advanced memory architecture.

setting up sending domain

by Daryna Ivanova

Free

Automate Mailtrap sending domain setup, DNS record retrieval, and verification across major providers.

Diagnose broken RAG systems. 8 failure categories: chunking, embeddings, retrieval, reranking, hallucination. Recall@k measurement.

RAG Failure Diagnostics & Architect

by Arnstein Larsen

$7

A retrieval architect that diagnoses why RAG returns confident-but-wrong answers, picks the right context architecture (RAG vs knowledge graph vs structured/temporal retrieval) instead of defaulting to vector search, and designs the institutional-memory schema embeddings throw away.

Diagnose RAG bottlenecks with precision metrics (Recall, MRR, nDCG) to identify retrieval or ranking failures.

Agent Memory Design Planner

by PromptWagon

$10

Designs practical memory architectures for AI assistants, agents, copilots, automations, and workflows, including memory schemas, retention rules, update policies, retrieval keys, summary formats, privacy boundaries, conflict handling, user preference memory, project memory, task memory, and audit-ready memory governance notes for builders.

RAG Knowledge Base Auditor

by PromptWagon

$10

Reviews document sets, source quality, chunking logic, metadata, retrieval coverage, citation traceability, answer grounding, source gaps, stale content, duplicate content, and failure patterns for RAG knowledge-base chatbots. Helps AI, product, support, governance, and engineering teams diagnose common and costly RAG quality problems before deployment or after incidents.

Agent Security and Red Team Pattern Library

by PubsProToolkit

Free

A defensive catalog of ~39 agent security attack patterns across every surface — injection, tool abuse, exfiltration, memory poisoning, multi-agent trust, retrieval poisoning — each with a detection signal, a concrete defense, and a severity. Nine reference files plus a threat-model worksheet. For hardening agents you own.

🧠 Retrieval Trace Auditor

by JustHandled Labs

$15

Audit real RAG evidence traces for missing expected sources, impossible citations, unsupported claims, stale evidence, unused context, and weak routing.

get data

by Jose Luis

Free

Standardized data retrieval and error handling for the get_data MCP tool.

RAG Hallucination Root Cause Analyzer

by heyhridyansh

$14.99

Diagnose RAG hallucinations, retrieval failures, and citation errors with a structured root-cause audit.